artificialguybr/cinematic.redmond 🔢📝✓ → 🖼️
About
Cinematic.Redmond has a high capacity to generate Cinematic, artistic images, cars, people, and a wide variety of themes
Example Output
Prompt:
"A cinematic film still of a (Movie Still) from Suicide Squad , (extremely intricate:1.3), (realistic), portrait of a girl, the most beautiful in the world, Margot Robbie as Harley Quinn, colorful hair, pigtails, blue eyes, baseball bat, teeth, (detailed face, detailed eyes, clear skin, clear eyes), photorealistic, award winning, professional photograph of a stunning woman detailed, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx "
Output
Performance Metrics
9.27s
Prediction Time
9.31s
Total Time
All Input Parameters
{
"width": 1656,
"height": 744,
"prompt": "A cinematic film still of a (Movie Still) from Suicide Squad , (extremely intricate:1.3), (realistic), portrait of a girl, the most beautiful in the world, Margot Robbie as Harley Quinn, colorful hair, pigtails, blue eyes, baseball bat, teeth, (detailed face, detailed eyes, clear skin, clear eyes), photorealistic, award winning, professional photograph of a stunning woman detailed, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx \n",
"num_images": 1,
"guidance_scale": 6,
"negative_prompt": "text, watermark, blur, deformed, noised",
"num_inference_steps": 30
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image. Lower if out of memory
- height
- Height of output image. Lower if out of memory
- prompt
- Input prompt
- num_images
- Number of images per prompt
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Input Negative Prompt
- num_inference_steps
- Number of denoising steps
- disable_safety_checker
- Disable safety checker for generated images. This feature is only available through the API
Output Schema
Output
Example Execution Logs
Using seed: 51751 txt2img mode The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', professional photograph of a stunning woman detailed, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx'] The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', professional photograph of a stunning woman detailed, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx'] 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:04, 7.07it/s] 7%|▋ | 2/30 [00:00<00:05, 4.77it/s] 10%|█ | 3/30 [00:00<00:06, 4.32it/s] 13%|█▎ | 4/30 [00:00<00:06, 4.13it/s] 17%|█▋ | 5/30 [00:01<00:06, 4.04it/s] 20%|██ | 6/30 [00:01<00:06, 3.98it/s] 23%|██▎ | 7/30 [00:01<00:05, 3.95it/s] 27%|██▋ | 8/30 [00:01<00:05, 3.92it/s] 30%|███ | 9/30 [00:02<00:05, 3.91it/s] 33%|███▎ | 10/30 [00:02<00:05, 3.90it/s] 37%|███▋ | 11/30 [00:02<00:04, 3.89it/s] 40%|████ | 12/30 [00:02<00:04, 3.89it/s] 43%|████▎ | 13/30 [00:03<00:04, 3.89it/s] 47%|████▋ | 14/30 [00:03<00:04, 3.89it/s] 50%|█████ | 15/30 [00:03<00:03, 3.89it/s] 53%|█████▎ | 16/30 [00:04<00:03, 3.90it/s] 57%|█████▋ | 17/30 [00:04<00:03, 3.90it/s] 60%|██████ | 18/30 [00:04<00:03, 3.90it/s] 63%|██████▎ | 19/30 [00:04<00:02, 3.90it/s] 67%|██████▋ | 20/30 [00:05<00:02, 3.90it/s] 70%|███████ | 21/30 [00:05<00:02, 3.90it/s] 73%|███████▎ | 22/30 [00:05<00:02, 3.90it/s] 77%|███████▋ | 23/30 [00:05<00:01, 3.90it/s] 80%|████████ | 24/30 [00:06<00:01, 3.90it/s] 83%|████████▎ | 25/30 [00:06<00:01, 3.89it/s] 87%|████████▋ | 26/30 [00:06<00:01, 3.89it/s] 90%|█████████ | 27/30 [00:06<00:00, 3.89it/s] 93%|█████████▎| 28/30 [00:07<00:00, 3.89it/s] 97%|█████████▋| 29/30 [00:07<00:00, 3.89it/s] 100%|██████████| 30/30 [00:07<00:00, 3.89it/s] 100%|██████████| 30/30 [00:07<00:00, 3.95it/s] Inference took: 8.21s Prediction took: 8.21s
Version Details
- Version ID
96fdefbd19563d6a391c18e1954085ca1b2f3c6b6b88b4e1f808e7e7bd4a873c- Version Created
- March 21, 2024